diff --git a/libs/partners/box/langchain_box/document_loaders/box.py b/libs/partners/box/langchain_box/document_loaders/box.py index 32dac91fbbd..f19e4ca3785 100644 --- a/libs/partners/box/langchain_box/document_loaders/box.py +++ b/libs/partners/box/langchain_box/document_loaders/box.py @@ -173,7 +173,7 @@ class BoxLoader(BaseLoader, BaseModel): """character_limit is an int that caps the number of characters to return per document.""" - _box: Optional[_BoxAPIWrapper] + _box: Optional[_BoxAPIWrapper] = None model_config = ConfigDict( arbitrary_types_allowed=True, diff --git a/libs/partners/box/langchain_box/retrievers/box.py b/libs/partners/box/langchain_box/retrievers/box.py index 7715fbd42e2..4cb129ea762 100644 --- a/libs/partners/box/langchain_box/retrievers/box.py +++ b/libs/partners/box/langchain_box/retrievers/box.py @@ -128,7 +128,7 @@ class BoxRetriever(BaseRetriever): """character_limit is an int that caps the number of characters to return per document.""" - _box: Optional[_BoxAPIWrapper] + _box: Optional[_BoxAPIWrapper] = None model_config = ConfigDict( arbitrary_types_allowed=True, diff --git a/libs/partners/box/langchain_box/utilities/box.py b/libs/partners/box/langchain_box/utilities/box.py index 4fef37a41c9..c482dcf36af 100644 --- a/libs/partners/box/langchain_box/utilities/box.py +++ b/libs/partners/box/langchain_box/utilities/box.py @@ -485,7 +485,7 @@ class _BoxAPIWrapper(BaseModel): """character_limit is an int that caps the number of characters to return per document.""" - _box: Optional[box_sdk_gen.BoxClient] + _box: Optional[box_sdk_gen.BoxClient] = None model_config = ConfigDict( arbitrary_types_allowed=True, diff --git a/libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py b/libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py index 4eabaf908f4..42754d4698a 100644 --- a/libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py +++ b/libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py @@ -54,7 +54,7 @@ class HuggingFacePipeline(BaseLLM): hf = HuggingFacePipeline(pipeline=pipe) """ - pipeline: Any #: :meta private: + pipeline: Any = None #: :meta private: model_id: str = DEFAULT_MODEL_ID """Model name to use.""" model_kwargs: Optional[dict] = None